Edge-aware coding tree unit hierarchical partitioning for quality scalable compression of depth maps

Sebai, Dorsaf; Mosbah, Sonia; Ghorbel, Faouzi

doi:10.1007/s00530-021-00766-w

Cited by 2 publications

(1 citation statement)

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“…However, the bandwidth-intensive nature of their new generation video contents hinders its wide adoption and poses new challenges to the video coding standards [5]. The scalable extension of high-efficiency video coding standard (SHVC) provides an attractive solution to facilitate the diversity of network and end-user devices by encoding different versions of the same video in a single bitstream [6], [7]. However, SHVC suffers from large complexity due to adopting multi-layer architecture [8].…”

Section: Introductionmentioning

confidence: 99%

Efficient Scalable 360-degree Video Compression Scheme using 3D Cuboid Partitioning

Afsana

Paul

Murshed

et al. 2022

2022 IEEE International Conference on Image Processing (ICIP)

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Video coding techniques minimize spatial and temporal redundancies inherent in video sequences based on nonoverlapping block-based image partitioning. Due to depending on the information from already encoded neighboring blocks, these algorithms lack efficient techniques to exploit the overall global redundancies. Compared to the traditional block-based coding, the cuboid coding (2D) framework has been proven to be a more effective method of image compression that exploits global redundancy by considering homogeneous pixel correlation within a frame. In this paper, we improved the idea of 2D cuboid coding to exploit both local and global redundancy from a video sequence by adopting a three-dimensional (3D) cuboid partitioning scheme for SHVC compression improvement of 360-degree videos. The proposed method considers a group of successive frames as a 3D cuboid and recursively partitions it into sub-3D cuboids where static information over a selected GOP share the same cuboid and moving regions share new cuboids with better-defined objects. All the 3D cuboids are then encoded to create a coarse representation of the video stream. Experiments indicate that the proposed framework significantly outperforms its relevant benchmarks, notably by 17.18% (average) in BD-Rate reduction and 0.82 dB in BD-PSNR gain with respect to the standard SHVC codec.

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Section: Introductionmentioning

confidence: 99%